Gender: Male 
Age: 18-24
Nationality: United States
Ethnicity: Black or African American 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: Prefer not to say
Self-assessed socioeconomic status (1-10): 3
Home: Other (Please specify) I live with family who own the home.
Employment: Not employed, but looking for work
Occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Mother's occupation: Homemaker
Father's occupation: Prefer not to say
Hobbies: Do arts and crafts;Use social media;Exercise;Listen to hiphop and rap;Listen to rock/indie music;Listen to jazz 
Devices used daily: Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT 
LLM use cases: Translation;Generic chatbot conversation;Learning (e.g., explaining complex concepts in simple terms);Get information about current events 
Contexts of LLM use: Learning 
Prompt 1: Explain the role of dark matter in our universe as an astrophysicist would.
Prompt 2: What is the best place to start when learning any language, according to language experts?
Prompt 3: What is the best way for a complete beginner to become involved in game development
Prompt 4: Which digital audio workstation is the most beginner-friendly, according to experienced musicians and producers?
Prompt 5: Where is the best place to start when learning history from zero, according to most historians?